Network video recording system based on AI drive

Abstract

The application discloses a network video recording system based on AI drive, the system comprises a control unit, the control unit comprises an AI analysis server and a connector, and the system also comprises a power management module, an HDMI interface, an RJ45 interface, a communication expansion interface, a storage expansion interface, a USB interface, an RS485 interface and an RS232 interface which are respectively connected with the connector, the power management module is used for supplying power to the system, the HDMI interface is used for being connected with a display, the RJ45 interface is used for being connected with the Ethernet, the communication expansion interface is used for expanding the communication module, the USB interface is used for being connected with external equipment with the USB interface, and the RS485 interface and the RS232 interface are used for being connected with the external equipment. The system can carry out data transmission with external equipment comprising an RJ45 interface, a USB interface, an RS485 interface and an RS232 interface, and the interface types of the system adaptive to the external equipment are enriched.

Description

Technical Field

[0001] The utility model relates to the technical field of artificial intelligence, and in particular to an advanced AI-driven network video recording system based on AI-driven. Background Art

[0002] Traditional network video recording (NVR) systems are mainly used for the storage and playback of surveillance videos, but their performance is limited when processing high-load AI video analysis tasks. In addition, traditional NVR systems mostly rely on fans for heat dissipation, which is limited by low heat dissipation efficiency and poor adaptability to harsh environments. With the development of AI technology, especially the growing demand for real-time video analysis, existing NVR solutions face challenges in processing multiple video streams and performing complex video analysis tasks. In addition, traditional NVR systems are also insufficient in terms of energy efficiency, compact design, and real-time monitoring and intelligent control functions. Therefore, a new type of NVR system is needed to provide efficient AI video analysis capabilities, enhance the flexibility and compatibility of the system, and solve the problems of heat dissipation and environmental adaptability. Utility Model Content

[0003] In response to the above technical problems, the utility model provides an AI-driven network video recording system with efficient AI video analysis capabilities.

[0004] An embodiment of the utility model provides an AI-driven network video recording system, the system includes a control unit, the control unit includes an AI analysis server and a connector, the system also includes a power management module, an HDMI interface, an RJ45 interface, a communication expansion interface, a storage expansion interface, a USB interface, an RS485 interface and an RS232 interface respectively connected to the connector, the power management module is used to power the system, the HDMI interface is used to connect a display, the RJ45 interface is used for Ethernet connection, the communication expansion interface is used to expand the communication module, the USB interface is used to connect an external device with a USB interface, and the RS485 interface and the RS232 interface are used to connect to external devices.

[0005] Optionally, the RS485 interface and the RS232 interface share a DB9 interface.

[0006] Optionally, the communication expansion interface includes a 4G module and / or a 5G module.

[0007] Optionally, the system further includes a TPM interface, and the TPM interface is connected to a TPM module.

[0008] Optionally, the storage expansion interface expands the storage module via a PCIe M.2M Key interface.

[0009] Optionally, the storage expansion interface is connected to a SATA hard disk via a PCIe to SATA bridge circuit to provide video data storage.

[0010] Optionally, the power management module includes a DC / DC converter, which is used to convert the power supply voltage into a preset voltage to power the system.

[0011] Optionally, the AI ​​analysis server is a Nvidia Jetson Orin module.

[0012] Optionally, the system further comprises a camera interface for connecting a camera.

[0013] Optionally, the system further includes a USB to UART bridge circuit and a USB Recovery interface.

[0014] In the technical solution provided by the embodiment of the utility model, the system is based on the AI ​​analysis server as the core, the power management module is used to power the system, the HDMI interface is used to connect the display, the RJ45 interface is used to connect to the Ethernet network, the communication expansion interface is used to expand the communication module, the USB interface is used to connect to an external device with a USB interface, and the RS485 interface and RS232 interface are used to connect to external devices. Compared with the prior art, the present application significantly improves the AI ​​video processing capability, and the system can transmit data with external devices containing RJ45 interface, USB interface, RS485 interface, and RS232 interface, enriching the interface types of the system adapting to external devices. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 This is a structural schematic diagram of an AI-driven network video recording system of the present utility model.

[0016] Figure 2 This is a schematic diagram of the external interface of an AI-driven network video recording system of the present utility model. DETAILED DESCRIPTION

[0017] The following will be combined with the drawings in the embodiments of the utility model to clearly and completely describe the technical solutions in the embodiments of the utility model. Obviously, the described embodiments are only part of the embodiments of the utility model, not all of the embodiments. Based on the embodiments of the utility model, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the utility model.

[0018] It should be noted that when an element is described as being “connected” or “connected to” another element, it may be directly connected to the other element, or one or more intervening elements may exist therebetween.

[0019] This utility model provides a network video recording system based on AI drive, please refer to Figure 1 , Figure 2 As shown, the system includes a control unit, which includes an AI analysis server and a connector. The system also includes a power management module, an HDMI interface, an RJ45 interface, a communication expansion interface, a storage expansion interface, a USB interface, an RS485 interface, and an RS232 interface respectively connected to the connector. The power management module is used to power the system, the HDMI interface is used to connect a display, the RJ45 interface is used for Ethernet connection, the communication expansion interface is used to expand the communication module, the USB interface is used to connect an external device with a USB interface, and the RS485 interface and the RS232 interface are used to connect to external devices.

[0020] Specifically, the AI ​​analysis server is an Nvidia Jetson Orin module, which is connected to the baseboard via a 260pin SODIMM connector, significantly improving the AI ​​video processing capability. The system design includes an efficient fanless cooling solution to ensure stable operation in various working environments. Nvidia Jetson Orin provides up to 100TOPS of AI computing performance, supporting complex video analysis and real-time data processing. Its software compatibility allows for flexible deployment of various AI models, bringing smarter analysis and response capabilities to video surveillance. The use of passive cooling technology improves the durability and reliability of the server, and it can work stably in a wider temperature range, not limited to a computer room environment with good temperature control.

[0021] The AI-driven network video recording system of the utility model is provided with an RJ45 interface, a LAN interface, and a USB interface on one side, and an RS485 interface, an RS232 interface, and a CAN interface on the other side, so that the system can transmit data with external devices having multiple interfaces such as RJ45 interface, USB interface, RS485 interface, RS232 interface, etc., enriching the interface types of the system adapting to external devices.

[0022] In one embodiment of the present invention, the RS485 interface and the RS232 interface share a DB9 interface, and the RS485 interface and the RS232 interface are connected to an external device having an RS485 interface and an RS232 interface through the RS485 interface and the RS232 interface. The system also includes a SAN interface and a LAN interface to enhance the flexibility and compatibility of the system.

[0023] The USB interface is used to connect an external device having a USB interface, and the USB interface preferably includes a USB2.0 interface or a USB2.0 debugging interface, and the USB2.0 interface is used to communicate data with the external device through a USB2.0 serial bus. Specifically, the USB interface includes a Type A interface and a Type C interface.

[0024] In one embodiment of the present invention, the communication expansion interface includes a 4G module and / or a 5G module, which is used to provide a mobile network connection for data transmission, ensuring that data transmission can be performed even in an environment without WiFi coverage, thereby increasing wireless communication capabilities.

[0025] In one embodiment of the present invention, the system further includes a TPM interface, and the TPM interface is connected to a TPM module to improve data security.

[0026] In one embodiment of the utility model, the storage expansion interface expands the storage module via the PCIe M.2MKey interface, and the storage expansion interface is connected to the SATA hard disk via the PCIe to SATA bridge circuit to provide video data storage. PCIe (peripheral component interconnect express) is a high-speed serial computer expansion bus standard. With its high efficiency and strong versatility, it is widely used as a common interface in the computer, server, and storage industries. The PCIE signal of the AI ​​analysis server is converted by the conversion circuit (PCIe to SATA bridge circuit) inside the PCIE converter and output to the corresponding peripheral interface.

[0027] In one embodiment of the present invention, the power management module includes a DC / DC converter for converting a power supply voltage into a preset voltage to power the system.

[0028] In one embodiment of the utility model, the system also includes a camera interface for connecting a camera, a USB to UART bridge circuit and a USB Recovery interface, the USB to UART bridge circuit provides a software debugging function, and the USB Recovery interface is used for burning and recovering system software.

[0029] The AI-driven network video recording system described in the utility model adopts the Nvidia Jetson Orin module at its core, realizes excellent AI video processing capabilities, adopts an efficient fanless cooling solution to ensure stable operation in various working environments, provides a variety of interfaces (including USB interface, CAN interface, RS232 interface, RS485 interface, etc.) to enhance the flexibility and compatibility of the system, adds SATA to support hard drives, adds network ports to access network cameras, adds PoE to power network cameras, adds 4G / 5G modules to expand networking scenarios, adds TPM to improve security, adds industrial control IO and communication interfaces to improve its AI response control capabilities, etc., and solves the problems in the prior art.

[0030] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. An AI-driven network video recording system, characterized in that: The system includes a control unit, which includes an AI analysis server and a connector. The system also includes a power management module, an HDMI interface, an RJ45 interface, a communication expansion interface, a storage expansion interface, a USB interface, an RS485 interface and an RS232 interface respectively connected to the connector. The power management module is used to power the system, the HDMI interface is used to connect a display, the RJ45 interface is used for Ethernet connection, the communication expansion interface is used to expand the communication module, the USB interface is used to connect an external device with a USB interface, and the RS485 interface and RS232 interface are used to connect to external devices.

2. The AI-driven network video recording system according to claim 1, characterized in that: The RS485 interface and the RS232 interface share the DB9 interface.

3. The AI-driven network video recording system according to claim 1, characterized in that: The communication expansion interface includes a 4G module and / or a 5G module.

4. The AI-driven network video recording system according to claim 1, characterized in that: The system also includes a TPM interface, and the TPM interface is connected to the TPM module.

5. The AI-driven network video recording system according to claim 1, characterized in that: The storage expansion interface expands the storage module via the PCIe M.2M Key interface.

6. The AI-driven network video recording system according to claim 5, characterized in that: The storage expansion interface is connected to the SATA hard disk via a PCIe to SATA bridge circuit to provide video data storage.

7. The AI-driven network video recording system according to claim 1, characterized in that: The power management module includes a DC / DC converter, which is used to convert the power supply voltage into a preset voltage to power the system.

8. The AI-driven network video recording system according to claim 1, characterized in that: The AI ​​analysis server is an Nvidia Jetson Orin module.

9. The AI-driven network video recording system according to claim 1, characterized in that: The system also includes a camera interface for connecting a camera.

10. The AI-driven network video recording system according to claim 1, characterized in that: The system also includes a USB to UART bridge circuit and a USB Recovery interface.

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